# Yelp Q&A, Specialties & Review Highlights Dataset

**Use case:** 

Capture the voice-of-customer layer of Yelp. This task foregrounds questions_answers (community Q&A), specialties (how a business describes itself) and reviewhighlights (recurring phrases from reviews), plus about, rating, review_count and categories. Depth of Q&A and specialties varies by business. Great for messaging research and knowing what buyers ask first.

## Input

```json
{
  "keywords": [
    "Coffee & Tea"
  ],
  "locations": [
    "Denver, CO"
  ],
  "languages": "English (United States)",
  "sort": "Recommended",
  "price": [],
  "urls": [],
  "maxResults": 50,
  "include_ads": true
}
```

## Output

```json
{
  "name": {
    "label": "Business Name",
    "format": "text"
  },
  "rating": {
    "label": "Rating",
    "format": "text"
  },
  "review_count": {
    "label": "Review Count",
    "format": "text"
  },
  "is_claimed": {
    "label": "Claimed",
    "format": "text"
  },
  "is_closed": {
    "label": "Closed",
    "format": "boolean"
  },
  "is_temporarily_closed": {
    "label": "Temporarily Closed",
    "format": "boolean"
  },
  "price_level": {
    "label": "Price Level",
    "format": "text"
  },
  "categories": {
    "label": "Categories",
    "format": "text"
  },
  "phone_number": {
    "label": "Phone Number",
    "format": "text"
  },
  "website": {
    "label": "Website",
    "format": "link"
  },
  "full_address": {
    "label": "Full Address",
    "format": "text"
  },
  "city": {
    "label": "City",
    "format": "text"
  },
  "state": {
    "label": "State",
    "format": "text"
  },
  "zipcode": {
    "label": "Zip Code",
    "format": "text"
  },
  "country": {
    "label": "Country",
    "format": "text"
  },
  "neighborhoods": {
    "label": "Neighborhoods",
    "format": "array"
  },
  "coordinates": {
    "label": "Coordinates",
    "format": "object"
  },
  "is_ad": {
    "label": "Sponsored",
    "format": "boolean"
  },
  "rank": {
    "label": "Rank",
    "format": "number"
  },
  "search_keyword": {
    "label": "Search Keyword",
    "format": "text"
  },
  "search_location": {
    "label": "Search Location",
    "format": "text"
  },
  "images": {
    "label": "Images",
    "format": "array"
  },
  "photo_count": {
    "label": "Photo Count",
    "format": "number"
  },
  "hours": {
    "label": "Hours",
    "format": "object"
  },
  "owner_name": {
    "label": "Owner Name",
    "format": "text"
  },
  "about": {
    "label": "About",
    "format": "text"
  },
  "reviewhighlights": {
    "label": "Review Highlights",
    "format": "array"
  },
  "amenities": {
    "label": "Amenities",
    "format": "object"
  },
  "specialties": {
    "label": "Specialties",
    "format": "text"
  },
  "year_established": {
    "label": "Year Established",
    "format": "text"
  },
  "popular_items": {
    "label": "Popular Items",
    "format": "array"
  },
  "menu_url": {
    "label": "Menu URL",
    "format": "link"
  },
  "questions_answers": {
    "label": "Q&A",
    "format": "array"
  },
  "videos": {
    "label": "Videos",
    "format": "array"
  },
  "health_inspections": {
    "label": "Health Inspections",
    "format": "array"
  },
  "verified_licenses": {
    "label": "Verified Licenses",
    "format": "array"
  },
  "service_areas": {
    "label": "Service Areas",
    "format": "array"
  },
  "yelp_biz_id": {
    "label": "Yelp Business ID",
    "format": "text"
  },
  "url": {
    "label": "Link",
    "format": "link"
  },
  "search_url": {
    "label": "Search URL",
    "format": "link"
  },
  "timestamp": {
    "label": "Timestamp",
    "format": "text"
  }
}
```

## About this Actor

This example demonstrates how to use [Yelp Advanced Data Scraper](https://apify.com/delicious_zebu/yelp-advanced-data-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/delicious_zebu/yelp-advanced-data-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/delicious_zebu/yelp-advanced-data-scraper.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).